Papers
Near-Optimal Bayesian Active Learning with Noisy Observations
Daniel Golovin, Andreas Krause, Debajyoti Ray
Near-Optimal Evasion of Convex-Inducing Classifiers
Blaine Nelson, Benjamin Rubinstein, Ling Huang et al.
Near-optimal Regret Bounds for Reinforcement Learning
Thomas Jaksch, Ronald Ortner, Peter Auer
Negative Results for Active Learning with Convex Losses
Steve Hanneke, Liu Yang
-Nested Symmetric Distributions
Fabian Sinz, Matthias Bethge
Network Flow Algorithms for Structured Sparsity
Julien Mairal, Rodolphe Jenatton, Francis R. Bach et al.
Neural conditional random fields
Trinh–Minh–Tri Do, Thierry Artieres
New Adaptive Algorithms for Online Classification
Francesco Orabona, Koby Crammer
Noise-contrastive estimation: A new estimation principle for unnormalized statistical models
Michael Gutmann, Aapo Hyvärinen
Nonlinear functional regression: a functional RKHS approach
Hachem Kadri, Emmanuel Duflos, Philippe Preux et al.
Nonparametric Bayesian Matrix Factorization by Power-EP
Nan Ding, Yuan Qi, Rongjing Xiang et al.
Nonparametric Bayesian Policy Priors for Reinforcement Learning
Finale Doshi-velez, David Wingate, Nicholas Roy et al.
Nonparametric Density Estimation for Stochastic Optimization with an Observable State Variable
Lauren Hannah, Warren Powell, David M. Blei
Nonparametric prior for adaptive sparsity
Vikas Raykar, Linda Zhao
Nonparametric Tree Graphical Models
Le Song, Arthur Gretton, Carlos Guestrin
Non-Stochastic Bandit Slate Problems
Satyen Kale, Lev Reyzin, Robert E. Schapire
Object Bank: A High-Level Image Representation for Scene Classification & Semantic Feature Sparsification
Li-jia Li, Hao Su, Li Fei-fei et al.
Occlusion Detection and Motion Estimation with Convex Optimization
Alper Ayvaci, Michalis Raptis, Stefano Soatto
On a Connection between Importance Sampling and the Likelihood Ratio Policy Gradient
Tang Jie, Pieter Abbeel
On Combining Graph-based Variance Reduction schemes
Vibhav Gogate, Rina Dechter
On Herding and the Perceptron Cycling Theorem
Andrew Gelfand, Yutian Chen, Laurens Maaten et al.
On Learning with Integral Operators
Lorenzo Rosasco, Mikhail Belkin, Ernesto De Vito
Online Anomaly Detection under Adversarial Impact
Marius Kloft, Pavel Laskov
Online Classification with Specificity Constraints
Andrey Bernstein, Shie Mannor, Nahum Shimkin